Innovation Moves at the Speed of Trust

There’s no shortage of excitement around artificial intelligence right now, and there’s certainly no shortage of concern either.

 

This week, another round of warnings from AI researchers and technology leaders brought some of those concerns back into focus. As AI models become more capable and autonomous agents are given the ability to perform increasingly complex tasks, the conversation about safety and appropriate guardrails is becoming more urgent.

 

Those are important conversations, but I keep coming back to something much simpler: people tend to embrace new technology when they have a reason to trust it.

 

We’ve seen this with nearly every major technology shift. People are willing to change the way they work when they understand what a technology does, feel comfortable with how it affects them, and believe someone has thought through what happens when things don’t go according to plan. AI is moving incredibly quickly, but human confidence doesn’t necessarily move at the same pace.

 

That creates an interesting challenge for organizations trying to adopt it.

 

Some employees are already experimenting with AI every chance they get. Others are hesitant because they aren’t sure what they’re allowed to use, what information they can safely share, or how much they should rely on the answers they receive. Customers may have similar questions when AI becomes part of the products and services they use.

 

Simply telling people that AI is safe isn’t going to resolve those concerns. Neither is creating so many restrictions that nobody can realistically use it.

 

Trust tends to develop somewhere in between.

 

When people understand where the boundaries are and why they exist, they can make better decisions without constantly wondering whether they’re doing something wrong. The same is true when organizations are transparent about how AI is being used and maintain appropriate human involvement when the consequences of a decision matter.

 

Security has an important role in creating that confidence.

 

We sometimes talk about Security controls as though they’re obstacles to innovation, particularly when a new technology is moving quickly and everyone wants to start using it. But thoughtful guardrails can have the opposite effect. They give people a safe place to experiment, help organizations become comfortable expanding successful use cases, and make it easier for leadership to support adoption without accepting risks they don’t understand.

 

The rest of this week’s Security news offers an interesting reminder that none of this requires perfection. Microsoft patched hundreds of vulnerabilities this month, attackers began targeting a newly disclosed GitLab vulnerability almost immediately, and Cisco responded to active exploitation affecting technology specifically designed to help protect email.

 

We continue to use all of those technologies because trust doesn’t mean believing something can never fail. It means understanding the risks well enough to use the technology responsibly and having a plan for what happens when problems are discovered.

 

AI shouldn’t require blind trust either.

 

As AI agents become capable of doing more on our behalf, organizations will have to make thoughtful decisions about how much autonomy they’re comfortable providing and where human judgment still belongs. Those decisions will change as the technology matures, and that’s okay. Trust doesn’t have to happen all at once.

 

In fact, organizations that establish clear expectations now may ultimately be able to move faster than those that either prohibit AI out of fear or adopt it without enough thought about the consequences.

 

The goal shouldn’t be to convince everyone that AI is perfectly safe. It isn’t, and neither is the rest of the technology we depend on every day.

 

The better goal is to give people good reasons to trust how we’re using it.